Multivariate classification trees based on minimum features discrete support vector machines

2003 ◽  
Vol 14 (3) ◽  
pp. 221-234 ◽  
Author(s):  
C. Orsenigo
Keyword(s):  
Support Vector Machines ◽  
Classification Trees ◽  
Support Vector ◽  
Multivariate Classification ◽  
Vector Machines

scholarly journals Bankruptcy Prediction of Engineering Companies in the EU Using Classification Methods

2018 ◽  
Vol 66 (5) ◽  
pp. 1347-1356 ◽  
Author(s):  
Michaela Staňková ◽  
David Hampel
Keyword(s):  
Logistic Regression ◽  
Support Vector Machines ◽  
Binary Classification ◽  
Classification Tree ◽  
Classification Trees ◽  
Bankruptcy Prediction ◽  
Support Vector ◽  
Type I ◽  
Vector Machines ◽  
The Eu

This article focuses on the problem of binary classification of 902 small- and medium‑sized engineering companies active in the EU, together with additional 51 companies which went bankrupt in 2014. For classification purposes, the basic statistical method of logistic regression has been selected, together with a representative of machine learning (support vector machines and classification trees method) to construct models for bankruptcy prediction. Different settings have been tested for each method. Furthermore, the models were estimated based on complete data and also using identified artificial factors. To evaluate the quality of prediction we observe not only the total accuracy with the type I and II errors but also the area under ROC curve criterion. The results clearly show that increasing distance to bankruptcy decreases the predictive ability of all models. The classification tree method leads us to rather simple models. The best classification results were achieved through logistic regression based on artificial factors. Moreover, this procedure provides good and stable results regardless of other settings. Artificial factors also seem to be a suitable variable for support vector machines models, but classification trees achieved better results using original data.

Computer-aided diagnosis of Alzheimer's disease using support vector machines and classification trees

2010 ◽  
Vol 55 (10) ◽  
pp. 2807-2817 ◽  
Author(s):  
D Salas-Gonzalez ◽  
J M Górriz ◽  
J Ramírez ◽  
M López ◽  
I Álvarez ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Support Vector Machines ◽  
Classification Trees ◽  
Computer Aided Diagnosis ◽  
Support Vector ◽  
Vector Machines ◽  
Computer Aided ◽  
Aided Diagnosis

Application of classification trees and support vector machines to model the presence of macroinvertebrates in rivers in Vietnam

2010 ◽  
Vol 5 (2) ◽  
pp. 140-146 ◽  
Author(s):  
Thu Huong Hoang ◽  
Koen Lock ◽  
Ans Mouton ◽  
Peter L.M. Goethals
Keyword(s):  
Support Vector Machines ◽  
Classification Trees ◽  
Support Vector ◽  
Vector Machines
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